Basiswissen Softwaretest: Aus- und Weiterbildung zum by Andreas Spillner

By Andreas Spillner

Professionelles Prüfen und Testen von software program wird zu einer immer wichtigeren Aufgabe, die eine fundierte Ausbildung erfordert. Mit dem 'Certified-Tester'-Programm existiert ein foreign standardisiertes Aus- und Weiterbildungsschema für Softwaretester.

Dieses Buch umfasst den benötigten Stoff zum Ablegen der Prüfung qualified Tester (Foundation point) nach ISTQB-Standard. Es vermittelt das nötige Grundlagenwissen und verwendet dabei ein durchgängiges Beispiel. Die wichtigsten Methoden zum Testen von software program und zum Prüfen der während der Softwareentwicklung verwendeten und erstellten Dokumente werden ausführlich behandelt.

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Extra resources for Basiswissen Softwaretest: Aus- und Weiterbildung zum Certified Tester - Foundation Level nach ISTQB-Standard

Sample text

It is obvious that points (£,p(£)) a r e distributed uniformly on set G={(x,z): x€[a,b}; z € [0,p] } . Therefore with accuracy of infinitesimal of degree Ay P{y <: n ^ y + ^y} = p(y)&y, thus distribution density of r; is p(y). Exercise 1. , which distribution density after truncation _ f f, \ undefined, if a < a ' < i < i i ' < 6 ; if 1 € [&', b] and x e [a, a1] , is p>,(y) = cp(y) for yeW,&']• 14 PART I. Evaluation of integrals and solution of integral equations Exercise 2. Form an algorithm of selection by truncation, transformation above.

Other ways to split domain D are available. For example, successive splitting of domain D' along coordinates x,y can be dropped in favor of splitting, which depends on the concentration of points generated along these coordinates. It is clear a priori, that not «through» splittings of set D, but the «local» ones of subdomains Di are of efficiency, however this approach turns out to be difficult to realize. 1 is that on steps 6, 12 the domains are to be split not by lines, but by hyperplanes of CHAPTER 2.

CHAPTER 2. 2. e. D = [a, 6] C R\, in order to analyze and demonstrate the procedure of adaptive algorithm of its statistic evaluation. 1. 2) is less, when values of probabilities densities being used Pi(x) are closer to a function, which is proportional to f{x). While performing points according to the standard procedure, information on values of integrand can be used for construction of estimate only. However, this information can also be used for «making up» probability density, in accordance with which points to be performed, are being selected.

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